Review Paper: Combined Study of Oceanography and Indigenous Method for Effective Fishing

Abstract

There is a complex question for fishermen these days due to various factors such as shortage of fish in the sea. Due to this scarcity of fish in the Pacific Ocean, our fishermen are forced to ship in the neighboring countries for fishing. They are caught and taken hostage during fishing in the maritime boundary of other countries because of lacking sufficient information. As a result, they have to spend a long period in imprisonment of other countries, leaving behind their family in a pathetic condition. In order to avoid all these problems, we can use the machine learning technique to inform the fishermen about the places to go for fishing based on the scientific parameters derived from Ocean Color website of the satellite (MODIS-Aqua and MODIS-Terra Sensor) give you (Ocean Surface Temperature (SST), chlorophyll content) and many others. We also use Indigenous technique (Survey, Questioner, data collection from government agency/Private Fisheries agency) based on that two methodology out proposed system will analyze the data in machine learning technique using Ensemble method based on python, also our android application provides an intelligent boundary alert (IBAL) to fishermen and helps to navigate within fishing zone with the help of Google map using android smart phone.